Author

Laura Machado

Novo Nordisk FoundationORCID 0009-0002-3090-5989Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Approach:benchmark study· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Carlos G. Acevedo‐RochaiD· 2 shared Jonathan FunkiD· 2 shared Timothy P. JenkinsiD· 2 shared Alexander MakarovskiyiD· 1 shared Emilie Sofie EngdaliD· 1 shared Henry Emanuel WebeliD· 1 shared Janine Sophie KemmingiD· 1 shared Kristoffer Haurum JohanseniD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBiochemistry

Carlos G. Acevedo‐RochaORCID

Mutual co-authors in cluster

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2 papers

Recent·Most cited

BiochemistrybioRxivPreprintJul 10, 2026

Hybrid quantum-classical de novo design of MHC-binding peptides

Emilie Sofie Engdal, Jonathan Funk, Omar Bacarreza…·Timothy P. Jenkins

This paper introduces a hybrid quantum-classical pipeline for designing MHC-binding peptides, showing that quantum-derived priors improve the yield of strong binders, especially for understudied HLA alleles.

DOI 10.64898/2026.07.09.736951

humanproteomics

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 1, 2024

ProteusAI: An Open-Source and User-Friendly Platform for Machine Learning-Guided Protein Design and Engineering

Jonathan Funk, Laura Machado, Samuel A. Bradley…·Carlos G. Acevedo‐Rocha

ProteusAI is an open-source platform that streamlines ML-guided protein design and engineering, improving proteins and enzymes efficiently within the DBTL cycle.

6 citations

protein sequencemachine learning (classical)

𝕏 PostBluesky